Neural Computation

Neural computation is a field that’s inspired by the way human brains work, and it’s all about using computer systems to mimic our brains’ ability to learn and recognize patterns. In business intelligence and data analytics, this means creating algorithms or computer models that can process large amounts of data and make decisions or predictions, much like a person might.

Neural computation is often associated with neural networks, which are systems made up of interconnected nodes, or “neurons,” just like the human brain. These neural networks can learn from data over time, improving their accuracy. For example, a neural network might be fed sales data to learn which products are most likely to sell at different times of the year.

Businesses use neural computation to solve complex problems that involve sifting through a ton of data and finding patterns that wouldn’t be obvious to humans. From predicting customer behavior to automating tasks like fraud detection, neural computation helps businesses operate more efficiently and stay ahead in a competitive market by harnessing the power of machine learning and artificial intelligence.